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GPU CLI

@gpu-cli

Remote GPUs made simple. `gpu run python train.py` or spin up ComfyUI/A1111. Auto-stops when you're done - pay only for what you use.

GPU CLI

Run code on cloud GPUs with a single command.

# Local
python train.py

# Remote GPU - just add "gpu run"
gpu run python train.py

Use Cases

ML & Training

  • Model training and fine-tuning
  • LoRA/QLoRA for LLMs
  • Batch inference
  • Jupyter notebooks

Image Generation

  • ComfyUI
  • Automatic1111 / SD WebUI
  • Fooocus
  • InvokeAI
  • Kohya SS (LoRA training)

Video & Audio

  • Wan, AnimateDiff, CogVideo
  • Whisper transcription
  • Music generation

LLM Inference

  • Ollama
  • llama.cpp
  • text-generation-webui

Why GPU CLI?

  • No more forgotten pods - Auto-stops when idle, so you only pay for what you use
  • Real-time outputs - Files sync back as they're created
  • Just works - Your local files sync to the pod, outputs sync back

Quick Start

# Install
curl -fsSL https://gpu-cli.sh/install.sh | sh

# Run on remote GPU
gpu run python train.py

Examples

Run a training job:

gpu run python train.py --epochs 100

Spin up ComfyUI:

gpu run -p 8188:8188 python main.py --listen 0.0.0.0
# Opens http://localhost:8188 automatically

Interactive shell:

Links

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